A Deep Reinforcement Learning: Location-based Resource Allocation for Congested C-V2X Scenario

Bhadauria, Shubhangi; Vasan, S.; Roshdi, Moustafa; Roth-Mandutz, Elke; Georg, Fischer

doi:10.1109/iemcon53756.2021.9623094

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In ref. [82], the authors proposed a location resource allocation scheme for V2X. This method, aims to guarantee latency, reliability and maximise data for VUEs.…”

Section: Radio Resource Allocation Classification Based On the Mode R...mentioning

confidence: 99%

Resource allocation for Vehicle‐to‐Everything communications: A survey

2022

View full text Add to dashboard Cite

The Deployment of new techniques to accommodate high data throughput, significant reliability, and quality of service (QoS) delivery prompts the use of 4G and 5G networks in several applications. In these networks, Vehicle‐to‐Everything (V2X) communications authorised by device‐to‐device cellular links (D2D) have gained momentum because of their potential to improve road safety, efficiency, and convenience. This improvement is to be provided by different types of V2X communications, including Vehicle‐to‐Pedestrian (V2P), Vehicle‐to‐Vehicle (V2V), Vehicle‐to‐Infrastructure (V2I), and Vehicle‐to‐Network (V2N) communications. However, considering several limiting factors such as mobility and increasing number of vehicles, efficiency of using wireless resources is a challenging task. Indeed, different research works on V2X radio resource allocation have been studied and evaluated with respect to several criteria. In this study, a survey of recent works but in a different way synthesising radio resource allocation methods is presented. Resource allocation classification into different categories is proposed. This classification is related to three main factors. The first takes into account the selection mode factor. It highlights the use of different approaches in each of the centralised, distributed, and mixed modes. The second one takes into account the considered performance criteria, including capacity, priority, delay etc. The last one focuses on the methods and scenarios used to evaluate a resource allocation approach.

show abstract

“…In ref. [82], the authors proposed a location resource allocation scheme for V2X. This method, aims to guarantee latency, reliability and maximise data for VUEs.…”

Section: Radio Resource Allocation Classification Based On the Mode R...mentioning

confidence: 99%